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Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT – Interdisciplinary Centre for Security, Reliability and Trust

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Page 1: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Big Data Processing & Fraud Detection

With Analysis of Datasets > 250TBJanuary 19, 2016

Dr. Lautaro DolbergDr. habil. Radu State

SnT – Interdisciplinary Centre for Security, Reliability and Trust

Page 2: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

About Me Dr. Lautaro Dolberg

Postdoc at SEDAN, SnT, University of Luxembourg, Choice Holding. Since 2015. Focus: Fraud Detection, Machine Learning on Big Data.

Page 3: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

R&D Project Partner

Analytics forFraud Detection

100 million consumers

Choice is a software company and cloud computing provider for the utilities distribution sector.

CHOICE was selected for a Red Herring's Top 100 Europe Award for the Cloud Computing Category.

CHOICE was selected for a Red Herring's Top 100 Europe Award for the Cloud Computing Category. CHOICE was selected for a Red Herring's Top 100 Europe Award for the Cloud Computing Category.

Page 4: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Embeded Research Unit

++Started 2015

Committed to Corporative And academic goals

Page 5: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Data Analytics for Fraud Detection

Challenges : Scale , Bias Operational CostsChallenges : Scale , Bias Operational Costs

Page 6: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Fraud Prevention & Detection In FinTech

Digital Payments

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E-Currency Monitor Transactions

Page 7: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Cloud Based Data Analytics

Integration with legacy applicationsIntegration with legacy applications

Secure CloudSecure Cloud

Scalable to match real time demandsScalable to match real time demands

Availability Availability

Page 8: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

100 million consumersUp to 30% users NTLDynamic Fraud schemes50 K Inspections a Month Operational cost $100 / inspection

Objective: Avoid innecesary inspections

Maximize the recovered energy

R&D Objective: Optimize Fraud Detection

Page 9: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Reducing operational Cost

Page 10: Big Data Processing & Fraud Detection · Big Data Processing & Fraud Detection With Analysis of Datasets > 250TB January 19, 2016 Dr. Lautaro Dolberg Dr. habil. Radu State SnT –

Conclusions

Successful collaboration in a joint scientific project for improving fraud

detection software

Mix Team (Corporative – Academic)

Results

Reduced the cost of operations (Monthly 2000 inspections less, $100 p/i)

Designed and implemented our contributions in a cloud based environment

Elastic to fit the demand. Smart meter ready

Come to talk to us for discussing possible joint projects in FinTech

[email protected]